Machine Learning Engineer (Mid-Level)

Clera builds and deploys production machine learning systems across the full ML lifecycle. This onsite role in San Francisco, CA focuses on turning business needs into reliable models, with collaboration across product and engineering and a strong emphasis on maintainable code, infrastructure, and real-world model performance.

What you’ll work on

• Design, train, and evaluate machine learning models intended for production use cases.
• Develop end-to-end ML pipelines, from data preprocessing through model serving and ongoing monitoring.
• Partner with product and engineering to translate business requirements into practical ML solutions.
• Debug and improve production model performance using monitoring data and real-world feedback.
• Write maintainable code and contribute to ML infrastructure and tooling.
• Participate in code reviews and share technical knowledge with teammates.

What you bring

• At least 3 years of professional machine learning or software engineering experience, including hands-on ownership of production ML systems in a startup or fast-moving product environment.
• Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation.
• Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
• Experience implementing production ML pipelines covering data preprocessing, model serving, and monitoring.
• Experience deploying and maintaining ML systems at scale with tools or platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
• Experience with production A/B testing or experimentation frameworks, including optimizing models based on results.
• A completed university degree and professional employment experience after graduation.
• Ability to work through ambiguity and prioritize practical impact in a dynamic environment.

Technologies you’ll use

• Python
• TensorFlow
• PyTorch
• scikit-learn
• AWS SageMaker
• GCP Vertex AI
• Kubernetes
• Docker

Location: On-site in San Francisco, California.